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Big Data News & Analysis

Microsoft One-Ups Apple and Gets a Big(ger) Data Game

2014-31-October-Rollerblader.jpgYou have to love Satya Nadella’s Microsoft. He announces a vision and the company delivers, Bada Bing, Bada Band.

Nope, “Band” isn’t a typo -- we’re talking about the Microsoft Band. It went on sale yesterday and, get this, it sold out online almost immediately. A few Microsoft retail stores (that no one knows about) may still have one, at least until the mall rats start telling everyone that a new store just opened.

For now the Band is being branded as a fitness tool (we’ll get to features in a moment) but it’s really about productivity, machine learning, Cortana and data.

This baby is going to have your number(s) and has the potential to run your life.

IBM's Tencent Deal Could Best Twitter Partnership

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IBM announced today that it has partnered with the Chinese Internet Services Provider (ISP) Tencent Holdings — a deal that has the potential to be a lot more lucrative than its recently announced partnership with Twitter.

IBM is trumpeting this one as a major step into the Chinese market that it has been targeting for a long time. What's really interesting is that the agreement between the two is for the provision of public cloud and Software-as-a-Service (SaaS) solutions in China. Financial terms of the deal were not disclosed.

Bigger, Better, Faster, Stronger: The Future of Big Data

2014-31-October-Big-Foot-Bionic-Man.jpg[W]e can rebuild him. We have the technology. We have the capability to make the world’s first bionic man. Steve Austin will be that man. Better than he was before. Better. Stronger. Faster.

One of the most popular TV shows in the mid '70s was the Six Million Dollar Man, which told the story of astronaut Steve Austin, who after an accident was rebuilt as a superhuman cyborg, combining the best of the human mind and robotic enhancements. This "Better. Stronger. Faster." has become a foundational theme in describing the benefits of technology. Whether you prefer the wording of the 1970's version or the 2007 Daft Punk "Harder, Better, Faster, Stronger," the basic themes resonate with organizations that want to improve the value and power of their technologies.

Big data is no exception. Although we have used the three Vs of Volume, Variety and Velocity as a basis for defining big data for over a decade, the truth is that each of these Vs is solved through different technologies -- there is no one solution to solve all of these problems. This conflation of big data characteristics has only become confusing since the phrase "big data" truly took off in 2011.

Big Data Projects: Taking Care of the Foundation

2014-30-October-Building-Blocks.jpgAll programs need a foundation, and big data programs are no different. Preparing an organization for big data requires a lot of the same capabilities for small data, content management and other information management and access programs. The challenge lies in making it real for the organization and paying for long term capabilities with short term benefits.

IBM, Twitter in 'Landmark' Enterprise Analytics Deal #IBMandTwitter

2014-29-October-Budgie.jpgTweet this -- enterprise software met social media today in one of the first major business partnerships of its kind. 

IBM and Twitter have joined forces in the red-hot enterprise analytics software market.

The social media platform will integrate its data into IBM's Watson cloud analytics portfolio, customer engagement capabilities and consulting services in what company officials call a "landmark" partnership announced today at IBM Insight, the Armonk, NY-based technology giant's big data and analytics conference in Las Vegas.

Twitter CEO Dick Costolo told the Insight crowd today that no one matches Twitter's ability to deliver real time insights from the real world.

"And IBM brings a unique ability" to deliver analytics, complex systems and data together for deeper trends and insights, he added.

Breaking Down Big Data: The Value in Metadata

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I never met a data that I didn’t like.” -- Internet Meme

As a Partner at Optimity Advisors, my role is to work with clients to make data likeable: identifiable, discoverable, usable and ultimately, valuable. Companies are struggling to manage big data in a landscape of rapidly increasing production and diverse formats. The ability to collect and analyze internal and external data can dictate how well an organization will generate knowledge, and ultimately value. How can you start planning for this value?

Marketing to the Segment of One is Closer Than it Seems

2014-28-October-Alone-in-Bleachers.jpgAs mass marketing dwindles in popularity and effectiveness, the “segmentation of one” is the future. Businesses must be able to market to customers at an individual level to remain competitive and relevant. However, without customer analytics technologies -- such as modelling, forecasting and segmentation -- marketing to this degree of detail can’t be done efficiently.

Big Data Meets Clean Data in IBM Offering #IBMInsight

Boston's got it wrong. Dirty water's nothing to be loved — nor is dirty data.

That's IBM's thinking today as it released a new generation of data services on the IBM Cloud that officials claim will make big data relevant and actionable for businesses. IBM unveiled the services at the Armonk, NY-based technology giant's big data conference, IBM Insight in Las Vegas.

"Consuming dirty water will make you sick," Rob Thomas, IBM's senior vice president of product development for big data and information management, told today's crowd of about 13,000. "And dirty data will make your corporation sick."

If Hadoop Disappears, Will the Label on Your Distro Matter?

2014-24-October-Elephant-Family.jpgIn the next year we’ll see Hadoop disappear, so said Cloudera co-founder and chief strategy officer Mike Olson in his keynote at the O’Reilly Strata + Hadoop World conference last week.

Olson has a way of saying things that cause a reaction. Last year it was his introduction of the Enterprise Data Hub that took everyone off guard, and this year it’s the promise that the big data muncher named after an elephant in a storybook will practically vanish from the line of sight of all but a few geeks.

You’d think that if it were invisible and it was all open source then the brand of Hadoop used might not matter so much.

Microsoft Wants to Own You [Video]

Microsoft CEO Satya Nadella has a strong record of delivering on his promises and we’re now beginning to see what that looks like. While we’ve already told you a great deal about the company’s recent advances in big data, OneDrive, Office 365, AzurePowerBI, predictive analytics and Cortana + Bing, this week we’re getting a peek at how the company’s productivity apps might work in its mobile-first, cloud-first world.

We predict that they’ll be like spokes on a wheel with the individual in the center, thereby eliminating silos between our professional and personal lives.

After all, the generation of workers that brought Bring Your Own Device (BOYD) into the workplace isn’t going to want to toggle between roles.

CMSWire Tweet Jam: Extracting Business Value From Big Data #CXMChat

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Big data may promise to carry businesses to the next level, but there's still a lot of confusion surrounding it. What's the happy medium between data driven personalization and appearing downright creepy? What tools and processes help businesses get the most out of the data they're collecting? Find out during tomorrow's Tweet Jam.

Big Data Projects: Developing Vision and Business Requirements

2014-23-October-Waiting.jpgDeveloping a big data program requires alignment of the objectives of the initiative with the needs of the business. Usually it is the other way around -- start with business needs. Because many of these programs are stood up by the technology organization, the business may not have enough understanding of what is possible to articulate their needs in a big data context.

Gain a Competitive Edge Through Big Data: 4 Use Cases

2014-22-October-Rainy-Day-Race.jpgToday’s data-driven companies have a competitive edge over their peers. How? They are generating breakthrough insights by bringing together all of their structured and unstructured data and analyzing it together.

When you can analyze a large amount of data as a single set -- rather than separate silos -- you can uncover significant insights that would be impossible to get from traditional business intelligence. And it’s these breakthrough insights that are giving companies a serious competitive advantage.

Yet while most organizations understand the value of analyzing big data to stay ahead of the curve, they often struggle to apply these data insights to business situations that matter most. So what are the most lucrative and effective use cases for big data analytics?

Q4 Planning: Top Marketing Technology, Social Business Conferences & Events (22-Oct-14)

Our industry event planner gives you the heads-up on what key industry events are coming around the corner. If we've missed something, don't hesitate to add your event to the list. (You can also view the full calendar here.)

You're Invited: The Survivalist's Guide to Data-Driven Marketing

Join CMSWire and Marketo on October 28th for a one-hour webinar on the best practices you may be missing in your marketing campaigns.
 

> Register Now

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Look Before You Leap Into the Big Data Revolution

2014-21-October-Pre-Jump.jpgLike the proverbial elephant and five blind men, big data looks different depending on who's describing it: from holy grail for information in society, to dangerous step toward a world in which people are treated based on predictions of what they are likely to do instead of what they actually do. While neither of these extremes may turn out to be our future, big data is obviously more than a passing fad, and will be defined ultimately not by what it is but by what is done with it and what it does to those at whom it is directed.

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